Using machine learning optimal number of cluster should be formed on the dataset

On protein sequences we will use clustering algorithm . The data used is the 33 (α/β)8-barrel proteins belonging to the glycoside hydrolases family 2 from the CAZy database. The 33 proteins are divided into five subfamilies, namely, Ga (for β-galactosidase), GI (for β-glucuronidase), Cs (for exo-β-D-glucosaminidase), Ma, and Un (for β-mannosidase), where each protein is represented as a sequence of symbols from the alphabet set {A, C, D, E, F, G, H, I, K, L, M, N, P, Q, R, S, T, V, W, X, Y}. The lengths of the sequences vary from 598 to 1270. These sequences are multimodular with various types of catalytic modules, known as “(α/β)8-barrel”. By this experiment task is to identify the correct number of clusters (K = 5), in terms of such structural characteristics hidden in the sequences.

To validate the quality of a series of clustering results, each generated by the clustering algorithm on the same sequences set S with various numbers of sequences clusters Cluster Validation Index is used

Kemahiran: Perlombongan Data, Pembelajaran Mesin, Matlab and Mathematica, Python

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Tentang Majikan:
( 0 ulasan ) Bengaluru, India

ID Projek: #18874914

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Dear sir. Your project attracted my attention at first glance, because I've extensive experience in Machine Learning & Matlab Programming. I'm really confident about your project, and very eager to join your project. Lagi

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-Professional Data Mining, Machine Learning, Matlab and Mathematica, Python expert ! Best Result in Time!----- Hello sir. I've really rich experience for your project, so your project is very interesting to me. I'm Lagi

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Hi I am a very experienced biostatistician, data scientist and bioinformatician. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several Lagi

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Hello! I will use classifier to help you with implementing optimal number of clusters. We must extract the natural feature of the sequences by CNN, which had succeeded in image classifier, object detection, etc becau Lagi

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Hello, dear! I am interested in your project. I have extensive experience in data analysis such as classification and clustering, feature selection, dimensional reduction, time series analysis, data forecasting, miss Lagi

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Hello, I'm a data scientist with multiple certifications in R and Python I can help you complete your project

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Hello I am a Software Engineer. I specialize to do image processing projects such as Image Segmentation, Face Recognition, Object Detect(Track) and etc. I sincerely hope this project would be first step in long ter Lagi

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